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Mining Maximal Local Conserved Gene Clusters from Microarray Data.
- Source :
- Advanced Data Mining & Applications (9783540370253); 2006, p356-363, 8p
- Publication Year :
- 2006
-
Abstract
- In this paper, we explore a novel type of gene cluster called local conserved gene cluster or LC-Cluster for short. A gene's expression level is local conserved if it is expressed with the similar abundance only on a subset of conditions instead of on all the conditions. A subset of genes which are simultaneously local conserved across the same subset of samples form an LC-Cluster, where the samples correspond to some phenotype and the genes suggest all candidates related to the phenotype. Two efficient algorithms, namely FALCONER and E-FALCONER, are proposed to mine the complete set of maximal LC-Clusters. The test results from both real and synthetic datasets confirm the effectiveness and efficiency of our approaches. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540370253
- Database :
- Complementary Index
- Journal :
- Advanced Data Mining & Applications (9783540370253)
- Publication Type :
- Book
- Accession number :
- 32864287
- Full Text :
- https://doi.org/10.1007/11811305_39